LilyEvansHogwarts

CS-Notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

terminalizer

🦄 Record your terminal and generate animated gif images or share a web player

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

cmake-examples

Useful CMake Examples

libsvm

LIBSVM -- A Library for Support Vector Machines

fuckcqcs

14小时

vim-easy-align

:sunflower: A Vim alignment plugin

awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

hands-on-ml-zh

:book: [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】

line_profiler

(OLD REPO) Line-by-line profiling for Python - Current repo ->

gpytorch

A highly efficient implementation of Gaussian Processes in PyTorch

learning-cmake

learning cmake

termgraph

a python command-line tool which draws basic graphs in the terminal

AdaBound

An optimizer that trains as fast as Adam and as good as SGD.

Awesome-AutoDL

Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)

nlopt

library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization

enas

TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"

jemdoc_mathjax

jemdoc with MathJax support and more

dnnweaver2

Open Source Specialized Computing Stack for Accelerating Deep Neural Networks.

nngp

Deep neural network kernel for Gaussian process

nas_benchmarks

Max-value-Entropy-Search

Max-value Entropy Search for Efficient Bayesian Optimization

gpucb

Simple implementation of GP-UCB algorithm.

mtgp

Multi-task Gaussian Process

SSL

This repo contains the source code and pretrained model for the paper "Semi-Supervised Hotspot Detection with Self-Paced Multi-Task Learning", which is published in 24th Asia and South Pacific Design Automation Conference.

cogp

Collaborative multi-output Gaussian processes

NeuralLinear

Multi-output Gaussian process regression via multi-task neural network

BNN

Bayesian neural network implementations